Vibe Coding for Accountants: Everything You Need to Know

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Date and time
March 25th, 2022 at 12:00pm EST

Friday
15
May
12:00 pm EDT
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Vibe Coding for Accountants: Everything You Need to Know

Overview
In this practical webinar, Dr. Gregory Saxton introduces “vibe coding”—the emerging practice of using generative AI to build working scripts, tools, and workflows through natural-language prompts rather than traditional programming. Designed for CPAs and finance professionals, the session shows how practitioners can use AI to prototype data-cleaning routines, automate repetitive analyses, create custom audit and reporting tools, and adapt code without formal software training.

Participants will learn how to translate accounting problems into effective prompts, iteratively refine AI-generated code, evaluate reliability and risks, and establish appropriate governance and documentation practices. The session emphasizes when vibe coding can meaningfully improve productivity—and when professional judgment, testing, and controls remain essential.

Use cases include data validation, variance analysis, reconciliations, custom analytics pipelines, regulatory reporting support, and internal decision tools. No prior programming experience is required.

Webinar participants will receive an official verified confirmation of participation after the webinar that can be used toward CPA professional development requirements.
Duration
1 hour

About the Presenter
Gregory D. Saxton, PhD, CGMA, is Professor of Accounting in the Schulich School of Business at York University in Toronto, Canada. Previously, he was Associate Professor of Communication at University at Buffalo, SUNY and of Public Administration at SUNY‐College at Brockport, and has taught at Virginia Commonwealth University and the Singapore Institute of Management. He received PhDs in Political Science from Claremont Graduate University (2000) and in Accounting from York University (2016). He has worked for the California state government and as a consultant or board member for various nonprofit organizations. His research uses Big Data and data analytic techniques to analyze nonprofit organizations, corporate social responsibility, and the capital markets and has appeared in such journals as Management Science, Review of Accounting Studies, Accounting, Organizations and Society, Journal of Business Ethics, Nonprofit and Voluntary Sector Quarterly, International Journal of Accounting Information Systems, Information Systems Management, Public Administration Review, and Journal of Accounting and Public Policy. For more details see http://social-metrics.org.

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